Top Remote Data Analyst Jobs

The Acquiom Imports Analyst interprets payment data, manipulates spreadsheets for import into NetSuite, and ensures data accuracy for M&A transactions.

Design, develop, and support ETL/data warehouse and BI solutions. Build, test, and analyze system modules; monitor month-end reporting; troubleshoot tickets and technical issues; manage deployments to UAT and production.

Lead retention and marketing analytics: build lifecycle and segmentation frameworks, design and analyze A/B tests, drive personalization and KPI dashboards, automate retention reporting, and partner with Marketing, CRM, Product, and Data Engineering to turn insights into action.

Lead product analytics across multiple products: own event tracking, funnel analysis, A/B testing framework, AI/LLM-driven insights, dashboards, and reporting. Ensure data quality, define KPIs, run experiments, automate monitoring, and collaborate with Product, Engineering, Marketing, and leadership to drive data-driven decisions.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

The Tactical Data Link Analyst develops military standards, evaluates interoperability, researches technical documents, and participates in joint working groups to ensure compliance and interoperability across systems.

The Data Privacy Compliance Analyst will support the development and implementation of data privacy programs, assist privacy operations, and ensure compliance with global privacy laws.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead revenue analytics for GTM: own annual operating plan and weekly forecast, build propensity/churn/expansion models, architect the revenue data warehouse and identity resolution, define TAM/ICP, leverage AI to automate insights, and partner cross-functionally to maintain single-source-of-truth revenue metrics.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Analyze portfolio-level organic search performance to identify trends and opportunities, build dashboards and benchmarks, define KPIs, evaluate strategy and product impacts, partner with Product/Data/Engineering, and translate insights into clear recommendations for technical and non-technical stakeholders.

Lead development and maintenance of actuarial data marts, extracts, reports, validations and audits. Drive requirements, technical specs, automations, and financial analyses; mentor staff and coordinate with vendors and business partners to ensure accurate, auditable financial data.

Lead and improve reporting and automation for Client Services by building and maintaining Tableau and Power BI dashboards, automating reports and reconciliations, expanding data warehouse and API integrations, performing SQL and database analysis, managing QC and governance, and collaborating with software/IT, clients, and vendors to drive reporting improvements.

Analyze healthcare and operational datasets to produce and maintain reports, dashboards, and analytics using SQL, Excel, and BI tools. Validate data, document workflows, support regulatory reporting, and collaborate with stakeholders to deliver insights for utilization, cost containment, and performance improvement.

Perform senior-level analysis on complex healthcare and business datasets (claims, utilization, financials). Design and maintain reports, dashboards, and ETL processes with SQL/SSRS/Excel; ensure data quality; build forecasts and models; lead projects; present insights to stakeholders; support audits and regulatory requests.

Ensure integrity and governance of reporting databases; develop automation frameworks and ETL processes; prepare data for BI; conduct code and periodic reviews; create data policies and documentation; collaborate with stakeholders to enforce data management practices; perform data, gap, and root-cause analysis; maintain performance and adopt new technologies.

Design, build, and maintain analytics and reporting for payment integrity post-pay reviews. Extract and consolidate large healthcare claims datasets, apply statistical analysis, develop dashboards and algorithms, and communicate findings to stakeholders. Support monitoring, tracking, and production deployment of analytics solutions.

Design and implement reports, dashboards, and analyses using SQL, Databricks, Python, and Excel to support pharmacy department decisions and regulatory reporting. Collaborate with stakeholders to define requirements, create recurring and ad hoc/state-mandated reports, develop tested production solutions, and communicate insights.

Analyze healthcare provider data and business processes, identify improvements, and develop solutions. Serve as liaison between business and IT, lead cross-functional projects, produce presentations and insights, and provide end-user training and support to ensure adoption of new processes and tools.

Leads complex data analysis and designs reporting and data solutions across healthcare domains (claims, utilization, cost). Builds and maintains SQL-based ETL, reports, dashboards (SSRS/BI), ensures data quality, and delivers forecasts and recommendations. Partners with stakeholders, documents processes, supports audits, and drives process improvements and automation.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Perform data extraction, integration, profiling, and analysis across Molina systems and external sources. Produce data quality controls, KPIs, reports, and recommendations; support root cause investigations, ad hoc requests, and data governance initiatives.

Lead provider data management analysis and improvements: triage PDM issues, manage cross-functional projects, analyze healthcare datasets, optimize workflows, gather requirements, produce stakeholder presentations, and train end-users to ensure accurate provider information and process adoption.

Provide first-line technology risk oversight for customized data platforms and AI/ML enablement. Identify, assess, document, and help mitigate technology, data, security, stability, third-party, and AI-related risks. Support RCSA, control reviews, issue management, AI use-case triage, stakeholder reporting, and remediation coordination across hybrid-cloud and on-prem environments.